Rohan V. Koodli

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “MultiVI: deep generative model for the integration of multimodal data”.

MultiVI: deep generative model for the integration of multimodal data

Nature Methods(2023)10.1038/s41592-023-01909-9

N/A

0DataRank · unranked

328 citations

Mariano I. Gabitto, Rohan V. Koodli, Giuseppe-Antonio Saldi, Michael I. Jordan, Nir Yosef +1 more

Geometric Deep Learning for Structure-Based Ligand Design

ACS Central Science(2023)10.1021/acscentsci.3c00572

N/A

0DataRank · unranked

43 citations

Helen H. Yu, Patricia Suriana, Rohan V. Koodli, Tianyu Lu, Joseph M. Paggi +2 more

MedSAGE: Bridging Generative AI and Medicinal Chemistry for Structure-Based Design of Small Molecule Drugs

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.05.10.653107

N/A

0DataRank · unranked

2 citations

Tianyu Lu, Rohan V. Koodli, Minkai Xu, Siyi Gu, M. Yu. Karelina +2 more